title: Classification of EEG bursts in deep sevoflurane, desflurane and isoflurane anesthesia using AR-modeling and entropy measures.
abstract: A study relating signal patterns of burst onsets in burst suppression EEG to the anesthetic agent or anesthesia induction protocol is presented. A dataset of 82 recordings of sevoflurane, isoflurane and desflurane anesthesia underlies the study. 3 second segments from the onset of altogether 3214 bursts are described using AR model parameters, spectral entropy and sample entropy as features. The features are clustered using the K-means algorithm. The results indicate that no clear cut distinction can be made between the burst patterns induced by the mentioned anesthetics although bursts of certain properties are more common in certain patient groups. Several directions for further investigations are proposed based on visual inspection of the recordings.
authors.forename: Tarmo
authors.initials: T
authors.lastname: Lipping
authors.forename: Juha
authors.initials: J
authors.lastname: Stålnacke
authors.forename: Elzbieta
authors.initials: E
authors.lastname: Olejarczyk
authors.forename: Radoslaw
authors.initials: R
authors.lastname: Marciniak
authors.forename: Ville
authors.initials: V
authors.lastname: Jäntti
mesh_terms: D000465:Algorithms; D000758:Anesthesia; D018685:Anesthetics, Inhalation / Q000494:pharmacology*; D016000:Cluster Analysis; D000077335:Desflurane; D004569:Electroencephalography; D019277:Entropy; D006801:Humans; D007530:Isoflurane / Q000031:analogs & derivatives* / Q000494:pharmacology*; D008738:Methyl Ethers / Q000494:pharmacology*; D000077149:Sevoflurane
chemical_list: D018685:Anesthetics, Inhalation; D008738:Methyl Ethers; D000077149:Sevoflurane; D000077335:Desflurane; D007530:Isoflurane